4 citations · 6 across the 18 of their papers we have counts for
18 papers
OlfactProfile: Profile-Conditioned Odor Prediction from Audiovisual Content
Zhengyu Lou, Bosheng Qin, Yanan Wang +3
Automated video-odor matching predicts scents aligned with audiovisual content for scent-enhanced media. Existing methods usually treat odor labels as determined only by scene cont…
Qwen-Image-2.0 Technical Report
Bing Zhao, Chenfei Wu, Deqing Li +72
We present Qwen-Image-2.0, an omni-capable image generation foundation model that unifies high-fidelity generation and precise image editing within a single framework. Despite rece…
Logics-Parsing-Omni Technical Report
Xin An, Jingyi Cai, Xiangyang Chen +22
Addressing the challenges of fragmented task definitions and the heterogeneity of unstructured data in multimodal parsing, this paper proposes the Omni Parsing framework. This fram…
LILAC: Language-Conditioned Object-Centric Optical Flow for Open-Loop Trajectory Generation
Motonari Kambara, Koki Seno, Tomoya Kaichi +2
We address language-conditioned robotic manipulation using flow-based trajectory generation, which enables training on human and web videos of object manipulation and requires only…
Training and Benchmarking Code Generation for Physics-Inspired Animations
Yanan Wang, Renxi Wang, Yongxin Wang +5
Large language models (LLMs) have been widely studied in areas such as mathematical reasoning, complex coding, and scientific problem solving. However, their ability to generate ex…
SpatialV2A: Visual-Guided High-fidelity Spatial Audio Generation
Yanan Wang, Linjie Ren, Zihao Li +2
While video-to-audio generation has achieved remarkable progress in semantic and temporal alignment, most existing studies focus solely on these aspects, paying limited attention t…
Learning Audio-Visual Embeddings with Inferred Latent Interaction Graphs
Donghuo Zeng, Hao Niu, Yanan Wang +1
Learning robust audio-visual embeddings requires bringing genuinely related audio and visual signals together while filtering out incidental co-occurrences - background noise, unre…
PA-VAD: Diffusion-Based Pseudo-Only Video Anomaly Detection via Domain-Aligned Memory Updates
Satoshi Hashimoto, Yanan Wang, Hitoshi Nishimura +1
Deploying video anomaly detection (VAD) in the real world is often constrained by the scarcity, privacy, and cost of collecting real abnormal footage. We propose PA-VAD, a novel ps…
An Empirical Study for Representations of Videos in Video Question Answering via MLLMs
Zhi Li, Yanan Wang, Hao Niu +2
Multimodal large language models have recently achieved remarkable progress in video question answering (VideoQA) by jointly processing visual, textual, and audio information. Howe…
RCPU: Rotation-Constrained Error Compensation for Structured Pruning of Large Language Models
Shuichiro Haruta, Kazunori Matsumoto, Zhi Li +2
In this paper, we propose a rotation-constrained compensation method to address the errors introduced by structured pruning of large language models (LLMs). LLMs are trained on mas…
MARS2 2025 Challenge on Multimodal Reasoning: Datasets, Methods, Results, Discussion, and Outlook
Peng Xu, Shengwu Xiong, Jiajun Zhang +125
This paper reviews the MARS2 2025 Challenge on Multimodal Reasoning. We aim to bring together different approaches in multimodal machine learning and LLMs via a large benchmark. We…
An Emotion Recognition Framework via Cross-modal Alignment of EEG and Eye Movement Data
Jianlu Wang, Yanan Wang, Tong Liu
Emotion recognition is essential for applications in affective computing and behavioral prediction, but conventional systems relying on single-modality data often fail to capture t…
CoTasks: Chain-of-Thought based Video Instruction Tuning Tasks
Yanan Wang, Julio Vizcarra, Zhi Li +2
Despite recent progress in video large language models (VideoLLMs), a key open challenge remains: how to equip models with chain-of-thought (CoT) reasoning abilities grounded in fi…
Top-down Activity Representation Learning for Video Question Answering
Yanan Wang, Shuichiro Haruta, Donghuo Zeng +2
Capturing complex hierarchical human activities, from atomic actions (e.g., picking up one present, moving to the sofa, unwrapping the present) to contextual events (e.g., celebrat…
Multi-object event graph representation learning for Video Question Answering
Yanan Wang, Shuichiro Haruta, Donghuo Zeng +2
Video question answering (VideoQA) is a task to predict the correct answer to questions posed about a given video. The system must comprehend spatial and temporal relationships amo…
Anchor-aware Deep Metric Learning for Audio-visual Retrieval
Donghuo Zeng, Yanan Wang, Kazushi Ikeda +1
Metric learning minimizes the gap between similar (positive) pairs of data points and increases the separation of dissimilar (negative) pairs, aiming at capturing the underlying da…
TimeGraphs: Graph-based Temporal Reasoning
Paridhi Maheshwari, Hongyu Ren, Yanan Wang +2
Many real-world systems exhibit temporal, dynamic behaviors, which are captured as time series of complex agent interactions. To perform temporal reasoning, current methods primari…
VQA-GNN: Reasoning with Multimodal Knowledge via Graph Neural Networks for Visual Question Answering
Yanan Wang, Michihiro Yasunaga, Hongyu Ren +2
Visual question answering (VQA) requires systems to perform concept-level reasoning by unifying unstructured (e.g., the context in question and answer; "QA context") and structured…